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Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
ImageNet Large Scale Visual Recognition Challenge
Paper • 1409.0575 • Published • 8 -
Sequence to Sequence Learning with Neural Networks
Paper • 1409.3215 • Published • 3 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 11
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Collections including paper arxiv:1706.03762
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Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 61 -
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 15 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 36 -
Attention Is All You Need
Paper • 1706.03762 • Published • 44
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Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
You Only Look Once: Unified, Real-Time Object Detection
Paper • 1506.02640 • Published • 1 -
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks
Paper • 1504.02531 • Published -
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 25
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LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 30 -
Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 48 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 36
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Mistral 7B
Paper • 2310.06825 • Published • 47 -
BloombergGPT: A Large Language Model for Finance
Paper • 2303.17564 • Published • 20 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 14 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 14
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Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 36 -
Efficient Estimation of Word Representations in Vector Space
Paper • 1301.3781 • Published • 6 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 14 -
Attention Is All You Need
Paper • 1706.03762 • Published • 44
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Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 14 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 7 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 14